2D and 3D bladder segmentation using U-Net-based deep-learning.
Xiangyuan MaLubomir M. HadjiiskiJun WeiHeang-Ping ChanKenny H. ChaRichard H. CohanElaine M. CaoiliRavi SamalaChuan ZhouYao LuPublished in: Medical Imaging: Computer-Aided Diagnosis (2019)
Keyphrases
- deep learning
- unsupervised learning
- image segmentation
- segmentation algorithm
- machine learning
- mental models
- unsupervised feature learning
- multiscale
- medical images
- deep architectures
- level set
- shape prior
- segmentation method
- deformable models
- weakly supervised
- energy function
- mr images
- domain specific
- viewpoint
- object segmentation
- multiple objects
- training set
- co occurrence
- graph cuts
- image processing